CN114256859A - Method and device for determining high-frequency oscillation reason of wind power plant - Google Patents

Method and device for determining high-frequency oscillation reason of wind power plant Download PDF

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CN114256859A
CN114256859A CN202111602732.4A CN202111602732A CN114256859A CN 114256859 A CN114256859 A CN 114256859A CN 202111602732 A CN202111602732 A CN 202111602732A CN 114256859 A CN114256859 A CN 114256859A
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equipment
impedance
power plant
wind power
frequency
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CN114256859B (en
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龚超
张扬帆
刘京波
吴林林
吴宇辉
刘辉
刘占彪
李琰
苏田宇
王玙
王耀涵
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State Grid Corp of China SGCC
North China Electric Power Research Institute Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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State Grid Corp of China SGCC
North China Electric Power Research Institute Co Ltd
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
    • H02J3/241—The oscillation concerning frequency
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • G—PHYSICS
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
    • H02J3/1821—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators
    • H02J3/1835—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators with stepless control
    • H02J3/1842—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators with stepless control wherein at least one reactive element is actively controlled by a bridge converter, e.g. active filters
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/06—Wind turbines or wind farms
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/28—The renewable source being wind energy
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/70—Wind energy
    • Y02E10/76—Power conversion electric or electronic aspects
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30—Reactive power compensation

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Abstract

A method and a device for determining the reason of high-frequency oscillation of a wind power plant are provided, wherein the method comprises the following steps: according to the obtained actual equipment parameters of each oscillating equipment in the wind power plant, a sweep frequency simulation model corresponding to each oscillating equipment is built, and the sweep frequency impedance characteristics corresponding to each oscillating equipment are determined by using a small signal analysis mode; determining an electrical node network according to the acquired topological structure diagram of the wind power plant; determining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode by using a node impedance aggregation calculation mode according to the preset device combination mode, the electrical node network and the sweep frequency impedance characteristic; from the impedance spectrogram, a cause of high frequency oscillations in the wind farm is determined. According to the invention, the internal equipment of the wind power plant is subjected to refined modeling, the whole wind power plant and the internal equipment of the wind power plant are analyzed, the high-frequency oscillation determination under the condition of multiple equipment and multiple factors is realized in a refined manner, and the high-frequency oscillation reason of the internal equipment of the wind power plant is more comprehensively positioned.

Description

Method and device for determining high-frequency oscillation reason of wind power plant
Technical Field
The invention relates to the technical field of wind power plants, in particular to a method and a device for determining a high-frequency oscillation reason of a wind power plant.
Background
Because of numerous power electronic devices of the wind power plant and complex control strategy, a plurality of new problems different from the conventional power plant occur in the actual operation of the wind power plant, and the problem of high-frequency oscillation easily occurs among the devices in the station. The high-frequency oscillation causes the equipment voltage to be rapidly increased, the risk of the wind power plant off-grid is caused, the generation mechanism of the high-frequency oscillation of the equipment in the station is researched through fine modeling of the wind power plant equipment, and the method has important significance for solving the problem that the wind power plant is off-grid due to the high-frequency oscillation.
The main problem of modeling and analyzing the research on the high-frequency oscillation mechanism generated between internal equipment of a wind power plant at present is that the modeling refinement degree is not high, the research is mainly carried out through a single wind turbine generator, the wind turbine generator group angle containing a whole station collection line model is not built to carry out the refinement modeling and analyzing, and the high-frequency oscillation mechanism in the wind power plant cannot be modeled and analyzed comprehensively. In addition, when high-frequency oscillation occurs among a wind turbine group, SVG (reactive power compensation equipment) and a main transformer, impedance characteristic modeling is carried out on each device independently and mutually in the station, and the oscillation mechanism of mutual influence among the devices in each station is difficult to analyze.
Disclosure of Invention
Aiming at the problems in the prior art, the embodiment of the invention mainly aims to provide a method and a device for determining the high-frequency oscillation reason of a wind power plant, so that the wind power plant is modeled in a refined manner, and the high-frequency oscillation reason of internal equipment of the wind power plant is analyzed more comprehensively.
In order to achieve the above object, an embodiment of the present invention provides a method for determining a cause of high-frequency oscillation of a wind farm, where the method includes:
according to the obtained actual equipment parameters of each oscillating equipment in the wind power plant, a sweep frequency simulation model corresponding to each oscillating equipment is built, and the sweep frequency impedance characteristics corresponding to each oscillating equipment are determined by using a small signal analysis mode;
determining an electric node network of the wind power plant topology structure chart according to the acquired wind power plant topology structure chart;
determining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode by using a node impedance aggregation calculation mode according to a preset device combination mode, the electrical node network and the sweep frequency impedance characteristic;
and determining the high-frequency oscillation reason in the wind power plant according to the corresponding impedance spectrogram of each oscillation device in a preset device combination mode.
Optionally, in an embodiment of the present invention, the building a sweep frequency simulation model corresponding to each oscillation device according to the obtained actual device parameters of each oscillation device in the wind farm includes:
acquiring actual equipment parameters of a wind turbine generator set, reactive compensation equipment and main transformer equipment in a wind power plant;
and according to actual equipment parameters of the wind turbine generator, the reactive compensation equipment and the main transformer equipment, establishing a sweep frequency simulation model corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment by utilizing an RT-lab simulation platform.
Optionally, in an embodiment of the present invention, the determining, by using a small signal analysis method, the sweep impedance characteristic corresponding to each oscillation device includes:
and obtaining sweep frequency impedance characteristics respectively corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment by utilizing a small signal analysis mode according to preset sweep frequency parameters.
Optionally, in an embodiment of the present invention, the determining, according to a preset device combination mode, the electrical node network, and the sweep frequency impedance characteristic, an impedance spectrogram corresponding to each oscillation device in the preset device combination mode by using a node impedance aggregation calculation mode includes:
carrying out node screening and grounding branch merging on the electrical node network to obtain each electrical node and the corresponding self-admittance thereof;
according to a preset equipment combination mode and the sweep frequency impedance characteristics corresponding to each oscillating equipment, node impedance aggregation calculation is carried out by utilizing the self-admittance of each electrical node, and an admittance matrix of each electrical node is obtained;
and determining an impedance matrix according to the admittance matrix of each electrical node, and obtaining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode according to the impedance matrix.
The embodiment of the invention also provides a device for determining the high-frequency oscillation reason of the wind power plant, which comprises:
the sweep frequency model module is used for building a sweep frequency simulation model corresponding to each oscillating device according to the obtained actual device parameters of each oscillating device in the wind power plant, and determining the sweep frequency impedance characteristics corresponding to each oscillating device by using a small signal analysis mode;
the node network module is used for determining an electric node network of the wind power plant topological structure chart according to the acquired wind power plant topological structure chart;
the impedance spectrogram module is used for determining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode by using a node impedance aggregation calculation mode according to a preset device combination mode, the electrical node network and the sweep frequency impedance characteristic;
and the high-frequency oscillation module is used for determining the high-frequency oscillation reason in the wind power plant according to the corresponding impedance spectrogram of each oscillation device in a preset device combination mode.
Optionally, in an embodiment of the present invention, the frequency sweep model module includes:
the equipment parameter unit is used for acquiring actual equipment parameters of a wind turbine generator set, reactive compensation equipment and main transformer equipment in the wind power plant;
and the model building unit is used for building a sweep frequency simulation model corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment by utilizing an RT-lab simulation platform according to the actual equipment parameters of the wind turbine generator, the reactive compensation equipment and the main transformer equipment.
Optionally, in an embodiment of the present invention, the frequency sweep model module is further configured to obtain frequency sweep impedance characteristics respectively corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment according to preset frequency sweep parameters in a small signal analysis manner.
Optionally, in an embodiment of the present invention, the impedance spectrogram module includes:
the self-admittance unit is used for carrying out node screening and grounding branch merging on the electrical node network to obtain each electrical node and corresponding self-admittance thereof;
the admittance matrix unit is used for carrying out node impedance aggregation calculation by utilizing the self-admittance of each electrical node according to a preset equipment combination mode and the sweep frequency impedance characteristics corresponding to each oscillating equipment to obtain an admittance matrix of each electrical node;
and the impedance spectrogram unit is used for determining an impedance matrix according to the admittance matrix of each electrical node and obtaining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode according to the impedance matrix.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method when executing the program.
The present invention also provides a computer-readable storage medium storing a computer program for executing the above method.
According to the invention, the wind power plant internal equipment is subjected to refined modeling, the whole wind power plant and the internal equipment individuals thereof are analyzed, the impedance calculation of the wind power plant equipment with huge number of nodes is simply and efficiently completed, the high-frequency oscillation determination under the condition of multiple equipment and multiple factors is realized, and the high-frequency oscillation reason of the wind power plant internal equipment is more comprehensively positioned.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a flow chart of a method for determining a cause of high frequency oscillation in a wind farm according to an embodiment of the present invention;
FIG. 2 is a flow chart of establishing a sweep frequency simulation model in the embodiment of the present invention;
FIG. 3 is a flow chart of determining an impedance spectrogram in an embodiment of the present invention;
FIG. 4 is a schematic diagram of an electrical node network in an embodiment of the present invention;
FIG. 5 is a schematic flow chart of a node impedance aggregation algorithm according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an impedance spectrum according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating a refinement modeling process according to an embodiment of the present invention;
FIG. 8 is a schematic structural diagram of a system to which a method for determining a cause of high-frequency oscillation of a wind farm is applied according to an embodiment of the present invention;
FIG. 9 is a schematic structural diagram of a device for determining a cause of high-frequency oscillation in a wind farm according to an embodiment of the present invention;
FIG. 10 is a schematic structural diagram of a frequency sweep model module according to an embodiment of the present invention;
FIG. 11 is a block diagram of an impedance spectrogram module according to an embodiment of the present invention;
fig. 12 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method and a device for determining a high-frequency oscillation reason of a wind power plant.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 shows a method for determining a cause of high-frequency oscillation of a wind farm according to an embodiment of the present invention, and the main implementation of the method for determining a cause of high-frequency oscillation of a wind farm according to an embodiment of the present invention includes, but is not limited to, a computer. The method shown in the figure comprises the following steps:
and step S1, according to the obtained actual equipment parameters of each oscillating equipment in the wind power plant, building a sweep frequency simulation model corresponding to each oscillating equipment, and determining the sweep frequency impedance characteristics corresponding to each oscillating equipment by using a small signal analysis mode.
Specifically, the oscillation equipment comprises a wind turbine generator, reactive compensation equipment (SVG) and main transformer equipment. According to an impedance frequency sweep method, frequency sweep simulation models corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment are respectively built through an RT-lab simulation platform.
Further, a small-signal disturbance analysis method is adopted, and the sweep frequency impedance characteristics corresponding to each oscillating device are determined according to preset sweep frequency parameters. Specifically, the sweep frequency parameters include: the frequency sweeping method comprises a frequency sweeping step length and a frequency sweeping interference source amplitude, wherein the frequency sweeping step length can be set to be 1Hz, and the frequency sweeping interference source amplitude can be controlled within 0-5% times of a device rated voltage range. Therefore, the sweep frequency impedance characteristics of the wind turbine generator, the reactive compensation equipment and the main transformer equipment under different frequencies under different working conditions are obtained.
Furthermore, the RT-LAB is a high-speed real-time digital simulation platform, has the advantages of strong computing capability and rich interfaces, is widely applied to the fields of electric power systems, automatic control and the like, and is an important technical means for carrying out simulation evaluation on a control algorithm.
And step S2, determining the electric node network of the wind power plant topological structure chart according to the acquired wind power plant topological structure chart.
The method comprises the steps of collecting basic information such as wind power plant equipment, collection line electrical information and a primary wiring topological structure chart to serve as the wind power plant topological structure chart. According to the topological structure diagram of the wind power plant, as shown in fig. 4, the numbers (1, 2,3, etc.) of each node of the plant equipment (main transformer, fan, box transformer, etc.), the collection lines (collection line 1, collection line 2), and the lines (1# line, 2# line, bus, etc.) are sequentially identified in sequence, so as to obtain the electric node network of the topological structure diagram of the wind power plant, wherein the diagram illustrates an identification schematic method of the equipment nodes in the plant.
And step S3, determining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode by using a node impedance aggregation calculation mode according to the preset device combination mode, the electrical node network and the sweep frequency impedance characteristics.
And carrying out fine analysis on various equipment combination modes by utilizing a node impedance aggregation algorithm according to a preset equipment combination mode, an electrical node network and the sweep frequency impedance characteristic. Specifically, impedance aggregation calculation is carried out on the electrical nodes of the electrical node network, and an impedance spectrogram under multiple equipment combination modes such as SVG equipment impedance characteristics, main transformer equipment impedance characteristics, wind turbine generator group impedance characteristics, SVG equipment + main transformer equipment impedance characteristics, main transformer equipment + wind turbine generator group impedance characteristics, SVG equipment + main transformer equipment impedance characteristics, SVG equipment + wind turbine generator group + main transformer equipment impedance characteristics and the like can be obtained.
Step S4, determining the high-frequency oscillation reason in the wind farm according to the corresponding impedance spectrogram of each oscillation device in a preset device combination mode.
According to the impedance spectrogram corresponding to each oscillating device in a preset device combination mode, for example, the impedance spectrograms of the oscillating device A and the oscillating device B in various device combination modes, the amplitude intersection point of the two graphs is searched, and the phase angle difference of the intersection point of the two graphs is 180 degrees, so that the high-frequency oscillation reason of the devices in the wind power plant can be determined.
As an embodiment of the present invention, as shown in fig. 2, the building of the sweep frequency simulation model corresponding to each oscillation device according to the obtained actual device parameters of each oscillation device in the wind farm includes:
step S21, acquiring actual equipment parameters of a wind turbine generator set, reactive compensation equipment and main transformer equipment in the wind power plant;
and step S22, building a sweep frequency simulation model corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment by using an RT-lab simulation platform according to the actual equipment parameters of the wind turbine generator, the reactive compensation equipment and the main transformer equipment.
The oscillation equipment comprises a wind turbine generator, reactive compensation equipment (SVG) and main transformer equipment. According to an impedance frequency sweep method, frequency sweep simulation models corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment are respectively built through an RT-lab simulation platform.
In this embodiment, determining the sweep frequency impedance characteristics corresponding to each oscillation device by using a small signal analysis method includes: and obtaining sweep frequency impedance characteristics respectively corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment by utilizing a small signal analysis mode according to preset sweep frequency parameters.
The method comprises the steps of determining sweep frequency impedance characteristics corresponding to each oscillating device according to preset sweep frequency parameters by adopting a small signal disturbance analysis method. Specifically, the sweep frequency parameters include: the frequency sweeping method comprises a frequency sweeping step length and a frequency sweeping interference source amplitude, wherein the frequency sweeping step length can be set to be 1Hz, and the frequency sweeping interference source amplitude can be controlled within 0-5% times of a device rated voltage range. Therefore, the sweep frequency impedance characteristics of the wind turbine generator, the reactive compensation equipment and the main transformer equipment under different frequencies under different working conditions are obtained.
As an embodiment of the present invention, as shown in fig. 3, determining, according to a preset device combination mode, the electrical node network, and the sweep frequency impedance characteristic, an impedance spectrogram corresponding to each oscillation device in the preset device combination mode by using a node impedance aggregation calculation mode includes:
step S31, carrying out node screening and grounding branch merging on the electric node network to obtain each electric node and the corresponding self-admittance thereof;
step S32, according to a preset equipment combination mode and the sweep frequency impedance characteristics corresponding to each oscillating equipment, node impedance aggregation calculation is carried out by utilizing the self-admittance of each electrical node, and an admittance matrix of each electrical node is obtained;
step S33, an impedance matrix is determined according to the admittance matrix of each electrical node, and an impedance spectrogram corresponding to each oscillating device in a preset device combination mode is obtained according to the impedance matrix.
Specifically, examples are as follows: and performing refined impedance aggregation calculation on the wind turbine generator group to obtain the impedance characteristic of the wind turbine generator group aggregated on a 35kV bus, and performing aggregation iterative calculation on the node matrix. Inverse transformation is carried out on the node admittance matrix to obtain an impedance matrix, 1+ j0 current is injected at the position of the initial node 1, no current is injected at the positions of other nodes, and derivation is carried out according to a node impedance matrix method, namely YUj＝ej(j＝1,2,3...n)，ejIs injected with current per unit, UjIs the node voltage of the injection node, Y is the node admittance matrix, and Z is obtained by calculationj＝Uj＝Y-1(j ═ 1,2,3.. n). Therefore, the voltage at any node n is the mutual impedance between the node n and the initial node 1, and the voltage at the node n divided by the injected current is the input impedance, as shown in fig. 5, the specific steps include:
step 1: combing the electrical node network to obtain the total number P of network nodes, sorting out the grounding branch of each node of the network and the non-grounding branch between the nodes to obtain the grounded admittance Y of any node kkkAnd any node i, kik；
Step 2: screening an air outlet motor set and SVG equipment, respectively serving as an electrical node of one end of a network, and screening electrical nodes of equivalent grounding branches of a main transformer, a box transformer and a collection line;
and step 3: combining a plurality of grounding branches of the same electrical node to obtain the total node number n and each node admittance matrix after combination;
and 4, step 4: determining the initial node to be calculated, operating the simulation platform node admittance aggregation accumulation algorithm program to obtain the electric node admittance matrix data
Figure BDA0003432329330000071
And 5: obtaining an impedance matrix by inverting, calculating and transforming admittance matrix data
Figure BDA0003432329330000072
According to the solved impedance matrix and the above solving principle, the integral from the node 1 is obtainedSystem impedance Z11。
According to the above algorithm, similarly, according to the above algorithm, the input impedance characteristics at the respective nodes of the equipment below the 220kV bus can be derived.
According to the steps, multiple equipment combination modes such as SVG equipment impedance characteristics, main transformer equipment impedance characteristics, wind turbine group impedance characteristics, SVG equipment + main transformer equipment impedance characteristics, main transformer equipment + wind turbine group impedance characteristics, SVG equipment + main transformer equipment impedance characteristics, SVG equipment + wind turbine group + main transformer equipment impedance characteristics and the like can be obtained, and multiple modes are provided for carrying out fine analysis for finding out wind power generation field high-frequency oscillation reasons. A plurality of refinement list combinations are exemplified as shown in table 1.
TABLE 1
Figure BDA0003432329330000081
Therefore, impedance spectrum characteristic data of the oscillating device A and the oscillating device B under various device combination modes can be obtained, and whether A, B devices have oscillation risks or not is judged through spectrum analysis and oscillation criteria.
Specifically, an impedance spectrogram is drawn, an amplitude intersection of the two graphs is found, and the criterion of phase oscillation of the intersection of the two graphs is met, specifically according to the criterion: r∑＝RA(ω)+RB(ω)<0, wherein R∑Is the impedance Z of device A, BA(ω)、ZB(ω) the sum of the damping to determine the risk. The reason for the high-frequency oscillation of the internal equipment of the wind power generation plant can be determined, as shown in fig. 6. In the figure f means the frequency, RA、RBIs ZA、ZBDamping part of expression, calculating ZA、ZBR can be obtained naturallyA、RBR in the figure∑Refers to the damping sum at the location of the intersection of the respective device a and device B, and if this sum is negative, it represents a risk of oscillation.
In an embodiment of the present invention, as shown in fig. 7, a schematic diagram of a refinement modeling process is shown, and the detailed process includes: and establishing an internal refined model of the wind power station through RT-LAB simulation software, wherein the internal refined model comprises a wind power generator group model containing a collection line, an SVG equipment model, a main transformer model and a whole station model. And then, under the condition that the SVG operates under different working conditions, the frequency impedance characteristics of the wind turbine generator, the SVG equipment and the main transformer equipment are obtained through an impedance frequency sweeping method.
Further, according to the structure of the station, a node aggregation algorithm is utilized to obtain a plurality of refined analysis models, specifically, station node aggregation impedance calculation is carried out on model parameters, and the frequency impedance characteristics of a wind turbine generator group model containing a collection line, a wind turbine generator group and SVG equipment model containing the wind turbine generator group and SVG equipment model, a main transformer and SVG equipment model containing the main transformer and SVG equipment model, a whole station model not containing the SVG and other various models are obtained.
Furthermore, various models are combined in a refined mode according to an impedance analysis method and an impedance spectrogram, and the refined oscillation risk assessment and mechanism research of the wind power station are achieved.
In a specific embodiment of the present invention, the present application further provides a system applying the method for determining the cause of the high-frequency oscillation of the wind farm, as shown in fig. 8, the system mainly includes an RT-lab real-time simulation platform, an upper computer, a power grid system, internal equipment of the wind farm, and a semi-physical control system.
The system comprises an upper computer, a RT-LAB simulation platform, a communication system and a power system model, wherein the upper computer builds and compiles the power system model, and is connected with the RT-LAB simulation platform through the communication system to perform real-time calculation and operation of a large-scale matrix; in the test process, the upper computer can preset working conditions and can also send commands to the RT-LAB simulation platform at any time to change test working condition parameters. The semi-physical control system is connected with the RT-LAB simulation platform and is used for amplifying voltage and current signals in the electric power system model output by the simulator to a voltage and current input range of the equipment to be tested; and the semi-physical control system is connected with the equipment to be tested, so that dynamic simulation test of the equipment to be tested under the response working condition set up by the upper computer is realized.
According to the invention, the wind power plant internal equipment is subjected to refined modeling, the whole wind power plant and the internal equipment individuals thereof are analyzed, the impedance calculation of the wind power plant equipment with huge number of nodes is simply and efficiently completed, the high-frequency oscillation determination under the condition of multiple equipment and multiple factors is realized, and the high-frequency oscillation reason of the wind power plant internal equipment is more comprehensively positioned.
Fig. 9 is a schematic structural diagram of a device for determining a cause of high-frequency oscillation in a wind farm according to an embodiment of the present invention, wherein the device comprises:
the sweep frequency model module 10 is configured to set up a sweep frequency simulation model corresponding to each oscillation device according to the obtained actual device parameters of each oscillation device in the wind farm, and determine a sweep frequency impedance characteristic corresponding to each oscillation device by using a small signal analysis mode.
Specifically, the oscillation equipment comprises a wind turbine generator, reactive compensation equipment (SVG) and main transformer equipment. According to an impedance frequency sweep method, frequency sweep simulation models corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment are respectively built through an RT-lab simulation platform.
Further, a small signal disturbance analysis method is adopted, and according to preset frequency sweep parameters, frequency sweep impedance characteristics corresponding to each oscillating device are determined, so that the frequency sweep impedance characteristics of the wind turbine generator, the reactive compensation device and the main transformer device under different frequencies under different working conditions are obtained.
Furthermore, the RT-LAB is a high-speed real-time digital simulation platform, has the advantages of strong computing capability and rich interfaces, is widely applied to the fields of electric power systems, automatic control and the like, and is an important technical means for carrying out simulation evaluation on a control algorithm.
And the node network module 20 is configured to determine an electrical node network of the wind farm topology structure diagram according to the acquired wind farm topology structure diagram.
The method comprises the steps of collecting basic information such as wind power plant equipment, collection line electrical information and a primary wiring topological structure chart to serve as the wind power plant topological structure chart. And sequentially identifying the numbers of the station equipment and each node of the collection line according to the topological structure diagram of the wind power plant, thereby obtaining the electric node network of the topological structure diagram of the wind power plant.
And an impedance spectrogram module 30, configured to determine, according to a preset device combination manner, the electrical node network, and the sweep frequency impedance characteristic, an impedance spectrogram corresponding to each oscillation device in the preset device combination manner by using a node impedance aggregation calculation manner.
And carrying out fine analysis on various equipment combination modes by utilizing a node impedance aggregation algorithm according to a preset equipment combination mode, an electrical node network and the sweep frequency impedance characteristic. Specifically, impedance aggregation calculation is carried out on the electrical nodes of the electrical node network, and an impedance spectrogram under multiple equipment combination modes such as SVG equipment impedance characteristics, main transformer equipment impedance characteristics, wind turbine generator group impedance characteristics, SVG equipment + main transformer equipment impedance characteristics, main transformer equipment + wind turbine generator group impedance characteristics, SVG equipment + main transformer equipment impedance characteristics, SVG equipment + wind turbine generator group + main transformer equipment impedance characteristics and the like can be obtained.
And the high-frequency oscillation module 40 is used for determining a high-frequency oscillation reason in the wind power plant according to the impedance spectrogram corresponding to each oscillation device in a preset device combination mode.
According to the impedance spectrogram corresponding to each oscillating device in a preset device combination mode, for example, the impedance spectrograms of the oscillating device A and the oscillating device B in various device combination modes, the amplitude intersection point of the two graphs is searched, and the phase angle difference of the intersection point of the two graphs is 180 degrees, so that the high-frequency oscillation reason of the devices in the wind power plant can be determined.
As an embodiment of the present invention, as shown in fig. 10, the frequency sweep model module 10 includes:
the equipment parameter unit 11 is used for acquiring actual equipment parameters of a wind turbine generator set, reactive compensation equipment and main transformer equipment in the wind power plant;
and the model building unit 12 is used for building a sweep frequency simulation model corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment by using an RT-lab simulation platform according to the actual equipment parameters of the wind turbine generator, the reactive compensation equipment and the main transformer equipment.
In this embodiment, the sweep frequency model module 10 is further configured to obtain sweep frequency impedance characteristics corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment respectively according to preset sweep frequency parameters in a small signal analysis manner.
As an embodiment of the present invention, as shown in fig. 11, the impedance spectrogram module 30 includes:
the self-admittance unit 31 is configured to perform node screening and ground branch merging on the electrical node network to obtain each electrical node and its corresponding self-admittance;
the admittance matrix unit 32 is configured to perform node impedance aggregation calculation by using self-admittance of each electrical node according to a preset device combination manner and a sweep frequency impedance characteristic corresponding to each oscillation device, so as to obtain an admittance matrix of each electrical node;
and an impedance spectrogram unit 33, configured to determine an impedance matrix according to the admittance matrix of each electrical node, and obtain an impedance spectrogram corresponding to each oscillation device in a preset device combination manner according to the impedance matrix.
Based on the same application concept as the method for determining the high-frequency oscillation reason of the wind power plant, the invention also provides the device for determining the high-frequency oscillation reason of the wind power plant. The principle of solving the problems of the device for determining the high-frequency oscillation reason of the wind power plant is similar to that of a method for determining the high-frequency oscillation reason of the wind power plant, so that the implementation of the device for determining the high-frequency oscillation reason of the wind power plant can refer to the implementation of the method for determining the high-frequency oscillation reason of the wind power plant, and repeated parts are not repeated.
According to the invention, the wind power plant internal equipment is subjected to refined modeling, the whole wind power plant and the internal equipment individuals thereof are analyzed, the impedance calculation of the wind power plant equipment with huge number of nodes is simply and efficiently completed, the high-frequency oscillation determination under the condition of multiple equipment and multiple factors is realized, and the high-frequency oscillation reason of the wind power plant internal equipment is more comprehensively positioned.
The invention also provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method when executing the program.
The present invention also provides a computer-readable storage medium storing a computer program for executing the above method.
As shown in fig. 12, the electronic device 600 may further include: communication module 110, input unit 120, audio processing unit 130, display 160, power supply 170. It is noted that the electronic device 600 does not necessarily include all of the components shown in fig. 12; furthermore, the electronic device 600 may also comprise components not shown in fig. 12, which may be referred to in the prior art.
As shown in fig. 12, the central processor 100, sometimes referred to as a controller or operational control, may include a microprocessor or other processor device and/or logic device, the central processor 100 receiving input and controlling the operation of the various components of the electronic device 600.
The memory 140 may be, for example, one or more of a buffer, a flash memory, a hard drive, a removable media, a volatile memory, a non-volatile memory, or other suitable device. The information relating to the failure may be stored, and a program for executing the information may be stored. And the central processing unit 100 may execute the program stored in the memory 140 to realize information storage or processing, etc.
The input unit 120 provides input to the cpu 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used to display an object to be displayed, such as an image or a character. The display may be, for example, an LCD display, but is not limited thereto.
The memory 140 may be a solid state memory such as Read Only Memory (ROM), Random Access Memory (RAM), a SIM card, or the like. There may also be a memory that holds information even when power is off, can be selectively erased, and is provided with more data, an example of which is sometimes called an EPROM or the like. The memory 140 may also be some other type of device. Memory 140 includes buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application/function storage section 142, and the application/function storage section 142 is used to store application programs and function programs or a flow for executing the operation of the electronic device 600 by the central processing unit 100.
The memory 140 may also include a data store 143, the data store 143 for storing data, such as contacts, digital data, pictures, sounds, and/or any other data used by the electronic device. The driver storage portion 144 of the memory 140 may include various drivers of the electronic device for communication functions and/or for performing other functions of the electronic device (e.g., messaging application, address book application, etc.).
The communication module 110 is a transmitter/receiver 110 that transmits and receives signals via an antenna 111. The communication module (transmitter/receiver) 110 is coupled to the central processor 100 to provide an input signal and receive an output signal, which may be the same as in the case of a conventional mobile communication terminal.
Based on different communication technologies, a plurality of communication modules 110, such as a cellular network module, a bluetooth module, and/or a wireless local area network module, may be provided in the same electronic device. The communication module (transmitter/receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide audio output via the speaker 131 and receive audio input from the microphone 132 to implement general telecommunications functions. Audio processor 130 may include any suitable buffers, decoders, amplifiers and so forth. In addition, an audio processor 130 is also coupled to the central processor 100, so that recording on the local can be enabled through a microphone 132, and so that sound stored on the local can be played through a speaker 131.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A method for determining a cause of high frequency oscillations in a wind farm, the method comprising:
according to the obtained actual equipment parameters of each oscillating equipment in the wind power plant, a sweep frequency simulation model corresponding to each oscillating equipment is built, and the sweep frequency impedance characteristics corresponding to each oscillating equipment are determined by using a small signal analysis mode;
determining an electric node network of the wind power plant topology structure chart according to the acquired wind power plant topology structure chart;
determining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode by using a node impedance aggregation calculation mode according to a preset device combination mode, the electrical node network and the sweep frequency impedance characteristic;
and determining the high-frequency oscillation reason in the wind power plant according to the corresponding impedance spectrogram of each oscillation device in a preset device combination mode.
2. The method according to claim 1, wherein the building of the sweep frequency simulation model corresponding to each oscillation device according to the obtained actual device parameters of each oscillation device in the wind power plant comprises:
acquiring actual equipment parameters of a wind turbine generator set, reactive compensation equipment and main transformer equipment in a wind power plant;
and according to actual equipment parameters of the wind turbine generator, the reactive compensation equipment and the main transformer equipment, establishing a sweep frequency simulation model corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment by utilizing an RT-lab simulation platform.
3. The method according to claim 2, wherein the determining the swept-frequency impedance characteristics corresponding to each oscillating device by using a small-signal analysis mode comprises:
and obtaining sweep frequency impedance characteristics respectively corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment by utilizing a small signal analysis mode according to preset sweep frequency parameters.
4. The method according to claim 1, wherein the determining, according to a preset device combination mode, the electrical node network and the swept-frequency impedance characteristics, an impedance spectrogram corresponding to each oscillating device in the preset device combination mode by using a node impedance aggregation calculation mode comprises:
carrying out node screening and grounding branch merging on the electrical node network to obtain each electrical node and the corresponding self-admittance thereof;
according to a preset equipment combination mode and the sweep frequency impedance characteristics corresponding to each oscillating equipment, node impedance aggregation calculation is carried out by utilizing the self-admittance of each electrical node, and an admittance matrix of each electrical node is obtained;
and determining an impedance matrix according to the admittance matrix of each electrical node, and obtaining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode according to the impedance matrix.
5. A wind farm high frequency oscillation cause determining apparatus, the apparatus comprising:
the sweep frequency model module is used for building a sweep frequency simulation model corresponding to each oscillating device according to the obtained actual device parameters of each oscillating device in the wind power plant, and determining the sweep frequency impedance characteristics corresponding to each oscillating device by using a small signal analysis mode;
the node network module is used for determining an electric node network of the wind power plant topological structure chart according to the acquired wind power plant topological structure chart;
the impedance spectrogram module is used for determining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode by using a node impedance aggregation calculation mode according to a preset device combination mode, the electrical node network and the sweep frequency impedance characteristic;
and the high-frequency oscillation module is used for determining the high-frequency oscillation reason in the wind power plant according to the corresponding impedance spectrogram of each oscillation device in a preset device combination mode.
6. The apparatus of claim 5, wherein the swept frequency model module comprises:
the equipment parameter unit is used for acquiring actual equipment parameters of a wind turbine generator set, reactive compensation equipment and main transformer equipment in the wind power plant;
and the model building unit is used for building a sweep frequency simulation model corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment by utilizing an RT-lab simulation platform according to the actual equipment parameters of the wind turbine generator, the reactive compensation equipment and the main transformer equipment.
7. The device according to claim 6, wherein the sweep frequency model module is further configured to obtain sweep frequency impedance characteristics corresponding to the wind turbine generator, the reactive compensation equipment and the main transformer equipment respectively according to preset sweep frequency parameters in a small signal analysis manner.
8. The apparatus of claim 5, wherein the impedance spectrogram module comprises:
the self-admittance unit is used for carrying out node screening and grounding branch merging on the electrical node network to obtain each electrical node and corresponding self-admittance thereof;
the admittance matrix unit is used for carrying out node impedance aggregation calculation by utilizing the self-admittance of each electrical node according to a preset equipment combination mode and the sweep frequency impedance characteristics corresponding to each oscillating equipment to obtain an admittance matrix of each electrical node;
and the impedance spectrogram unit is used for determining an impedance matrix according to the admittance matrix of each electrical node and obtaining an impedance spectrogram corresponding to each oscillating device in a preset device combination mode according to the impedance matrix.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115663903A (en) * 2022-11-18 2023-01-31 中国电力科学研究院有限公司 Impedance frequency division polymerization method and system suitable for new energy station

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012060883A2 (en) * 2010-11-03 2012-05-10 Osisoft, Inc. Power grid failure prediction and detection
CN106250660A (en) * 2016-08-31 2016-12-21 上海交通大学 A kind of marine wind electric field harmonic analysis method
CN111146804A (en) * 2020-01-02 2020-05-12 南方电网科学研究院有限责任公司 Method and device for judging oscillation stability of wind power-flexible direct current transmission system
CN112381671A (en) * 2020-11-30 2021-02-19 华北电力科学研究院有限责任公司 Broadband oscillation risk assessment method for new energy station grid-connected power system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012060883A2 (en) * 2010-11-03 2012-05-10 Osisoft, Inc. Power grid failure prediction and detection
CN106250660A (en) * 2016-08-31 2016-12-21 上海交通大学 A kind of marine wind electric field harmonic analysis method
CN111146804A (en) * 2020-01-02 2020-05-12 南方电网科学研究院有限责任公司 Method and device for judging oscillation stability of wind power-flexible direct current transmission system
CN112381671A (en) * 2020-11-30 2021-02-19 华北电力科学研究院有限责任公司 Broadband oscillation risk assessment method for new energy station grid-connected power system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
HAO TONG ET AL.: "High-Frequency Resonance Analysis Between DFIG Based Wind Farm with Direct Power Control and VSC-HVDC", 《2021 24TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS)》, pages 2207 - 2212 *
刘津铭: "孤岛微电网序阻抗建模与高频振荡抑制", 《电工技术学报》, vol. 35, no. 7, pages 1538 - 1552 *
王潇等: "双馈风电场经柔性直流并网系统的宽频带振荡机理分析与风险评估", 《全球能源互联网》, vol. 3, no. 3, pages 238 - 247 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115663903A (en) * 2022-11-18 2023-01-31 中国电力科学研究院有限公司 Impedance frequency division polymerization method and system suitable for new energy station

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